CVE-2026-71907 (GCVE-0-2026-71907)
Vulnerability from cvelistv5 – Published: 2026-08-24 17:07 – Updated: 2026-08-24 19:02
VLAI
EPSS
VEX
Title
DrayTek VigorAP Multiple Models OS Command Injection via setcamset
Summary
Multiple DrayTek VigorAP models contain a command injection vulnerability in the setcamset function. The vulnerability is caused by insufficient filtering of the selectSlaves field before command execution. A remote attacker can trigger this vulnerability via crafted input to execute arbitrary commands with root privileges. Exploitation requires valid administrative credentials for the device's web management interface.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-24 19:01 UTC
CWE
- CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.draytek.com/about/security-advisory/m… | vendor-advisory |
| https://www.vulncheck.com/advisories/draytek-vigo… | third-party-advisory |
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| DrayTek Corporation | VigorAP 918R |
Affected:
0 , < 1.4.11
(custom)
|
guessed | |
| DrayTek Corporation | VigorAP 960C |
Affected:
0 , < 1.4.12
(custom)
|
guessed | |
| DrayTek Corporation | VigorAP 1060C |
Affected:
0 , < 1.4.12
(custom)
|
guessed | |
| DrayTek Corporation | VigorAP 906 |
Affected:
0 , < 1.4.13
(custom)
|
guessed | |
| DrayTek Corporation | VigorAP 912C |
Affected:
0 , < 1.4.15
(custom)
|
guessed | |
| DrayTek Corporation | VigorAP 903 |
Affected:
0 , < 1.4.22
(custom)
|
guessed |
Date Public
2026-08-24 00:00
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"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/draytek-vigorap-multiple-models-os-command-injection-via-setcamset"
}
],
"title": "DrayTek VigorAP Multiple Models OS Command Injection via setcamset",
"x_generator": {
"engine": "vulncheck-endgame"
}
}
},
"cveMetadata": {
"assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
"assignerShortName": "VulnCheck",
"cveId": "CVE-2026-71907",
"datePublished": "2026-08-24T17:07:41.591Z",
"dateReserved": "2026-08-08T16:37:44.517Z",
"dateUpdated": "2026-08-24T19:02:15.607Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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